• DocumentCode
    105643
  • Title

    A Flexible Mixed-Integer Linear Programming Approach to the AC Optimal Power Flow in Distribution Systems

  • Author

    Ferreira, R.S. ; Borges, Carmen L. T. ; Pereira, M.V.F.

  • Author_Institution
    COPPE, UFRJ, Rio de Janeiro, Brazil
  • Volume
    29
  • Issue
    5
  • fYear
    2014
  • fDate
    Sept. 2014
  • Firstpage
    2447
  • Lastpage
    2459
  • Abstract
    In this paper, we propose a flexible mixed-integer linear programming formulation of the AC OPF problem for distribution systems, using convexification and linearization techniques. The proposed formulation allows the representation of discrete decisions via integer decision variables, captures the nonlinear behavior of the electrical network via approximations of controllable accuracy, and can be solved to global optimality with commercial optimization solvers. The formulation is based on conventional variables that describe network behavior, which ensures its flexibility and the possibility of application to various distribution system problems, as we indicate with case studies.
  • Keywords
    approximation theory; convex programming; decision theory; integer programming; linear programming; linearisation techniques; load flow; power distribution; AC OPF problem; AC optimal power flow; commercial optimization solvers; controllable accuracy approximations; convexification techniques; discrete decision representation; distribution system problems; electrical network; flexible mixed-integer linear programming approach; global optimality; integer decision variables; linearization techniques; nonlinear behavior; Linear approximation; Load modeling; Mathematical model; Mixed integer linear programming; Optimization; Piecewise linear approximation; AC optimal power flow; convexification; distribution systems; mixed-integer linear programming;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2014.2304539
  • Filename
    6742629